Temperature control mattress system based on crowd characteristics and control method, device and medium thereof

Abstract

The application discloses a temperature control mattress system based on crowd characteristics and a control method, device and medium thereof. The system comprises a user interaction module configured to receive a control instruction input by a user; a matrix temperature sensing network comprising a plurality of temperature probes arranged in a grid shape and uniformly, forming a plurality of independent temperature detection cells; an air volume executing mechanism configured to deliver air with a corresponding temperature to each temperature detection cell; and a central controller connected with the user interaction module, the matrix temperature sensing network and the air volume executing mechanism, configured to obtain a corresponding target temperature according to a mode selection instruction, detect a real-time temperature of a target temperature detection cell corresponding to the control instruction, and adjust the temperature of the target temperature detection cell in combination with the target temperature and the real-time temperature. The application can automatically execute a scientific and personalized temperature scheme according to the crowd characteristics of the user, realize multi-region independent and accurate temperature control, and thus improve the comfort and experience of the temperature control mattress.

Description

Technical Field

[0001] This invention relates to the field of home furnishing equipment technology, and in particular to a temperature-controlled mattress system based on population characteristics, and its control method, device, and medium. Background Technology

[0002] With the continuous iteration and popularization of smart home technology, temperature-controlled mattresses, as a new type of smart home product that enhances sleep comfort, are gradually entering the public eye and becoming a focus of market attention. Currently, mainstream temperature-controlled mattresses on the market mainly adopt independent temperature setting technology for left and right zones. Their core operation involves users manually setting specific temperature values ​​to achieve basic temperature control. However, this traditional temperature control technology has many significant drawbacks, making it difficult to meet users' needs for intelligent and personalized sleep experiences. Specifically: First, the operation process is complex and not intuitive, requiring a certain level of professional knowledge from users. Users need to have some knowledge of thermal comfort to accurately determine their required temperature range, and often need to repeatedly adjust the settings to find a suitable temperature, resulting in poor ease of use. Second, it cannot adapt to the differentiated physiological needs of different groups of people. Users of different genders, ages, and physical conditions have significantly different needs for sleep temperature. For example, women have relatively weaker peripheral blood circulation and have a higher need for warmth, while the elderly have declining physical functions and require a gentle and stable temperature rise curve. The current technology's standardized manual setting mode cannot accommodate these differentiated needs. Finally, the control dimensions are relatively simple, limited to static spatial zoning adjustment, ignoring the dynamic changes in the human sleep cycle and the differentiated temperature control needs of different parts of the body. This results in a serious lack of intelligence and personalization in the product, making it difficult to truly achieve the core goals of precise temperature control and comfortable sleep. Summary of the Invention

[0003] This invention provides a temperature-controlled mattress system based on population characteristics, as well as its control method, device, and storage medium, aiming to improve the comfort and experience of temperature-controlled mattresses.

[0004] In a first aspect, embodiments of the present invention provide a temperature-controlled mattress system based on population characteristics, comprising: The user interaction module is used to receive control commands input by the user; wherein, the control commands include mode selection commands set based on population characteristics; A matrix temperature sensing network is installed under the temperature-controlled mattress. The matrix temperature sensing network includes multiple temperature probes that are evenly arranged in a grid pattern to form multiple independent temperature detection cells. An airflow actuator is connected to each of the temperature detection cells and is used to deliver airflow with a corresponding temperature to each of the temperature detection cells. A central controller, connected to the user interaction module, a matrix temperature sensor network, and an airflow actuator, is used to receive control commands input by the user through the user interaction module and obtain a mode selection command from the control commands; obtain the corresponding target temperature based on the mode selection command; detect the real-time temperature of the target temperature detection cell corresponding to the control command through the matrix temperature sensor network; and adjust the temperature of the target temperature detection cell through the airflow actuator by combining the target temperature and the real-time temperature.

[0005] Secondly, embodiments of the present invention provide a control method for a temperature-controlled mattress system based on population characteristics, applied to the temperature-controlled mattress system based on population characteristics as described in the first aspect, the method comprising: The user interaction module receives control commands input by the user and obtains mode selection commands from the control commands. The corresponding target temperature and target temperature detection cell are obtained according to the mode selection instruction; The real-time temperature of the target temperature detection cell is detected by the matrix temperature sensing network. Based on the target temperature and the real-time temperature, the airflow actuator adjusts the temperature of the target temperature detection cell.

[0006] Thirdly, embodiments of the present invention provide a temperature-controlled mattress system control device based on population characteristics, comprising: The instruction acquisition unit is used to receive control instructions input by the user according to the user interaction module, and to acquire the mode selection instruction in the control instructions; The target acquisition unit is used to acquire the corresponding target temperature and the target temperature detection cell according to the mode selection instruction. A temperature detection unit is used to detect the real-time temperature of the target temperature detection cell through the matrix temperature sensing network. A temperature control unit is used to adjust the temperature of the target temperature detection cell by combining the target temperature and the real-time temperature through the airflow actuator.

[0007] Fourthly, embodiments of the present invention provide a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the temperature-controlled mattress system control method based on population characteristics as described in the second aspect.

[0008] This invention provides a temperature-controlled mattress system based on population characteristics, along with its control method, device, and storage medium. The temperature-controlled mattress system includes: a user interaction module for receiving control commands input by a user; wherein the control commands include mode selection commands set based on population characteristics; a matrix temperature sensing network disposed beneath the temperature-controlled mattress, the matrix temperature sensing network including multiple temperature probes evenly arranged in a grid pattern to form multiple independent temperature detection cells; an airflow actuator connected to each of the temperature detection cells, for delivering airflow with a corresponding temperature to each temperature detection cell; and a central controller connected to the user interaction module, the matrix temperature sensing network, and the airflow actuator, for receiving control commands input by the user through the user interaction module and obtaining the mode selection command from the control commands; obtaining the corresponding target temperature based on the mode selection command; detecting the real-time temperature of the target temperature detection cell corresponding to the control command through the matrix temperature sensing network; and adjusting the temperature of the target temperature detection cell through the airflow actuator by combining the target temperature and the real-time temperature. The embodiments of the present invention can automatically execute scientific and personalized temperature plans based on the characteristics of user groups; through a high-density sensor network and independent air ducts, multi-zone independent and precise temperature control is achieved, thereby improving the comfort and experience of the temperature-controlled mattress. Attached Figure Description

[0009] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0010] Figure 1 A system structure diagram of a temperature-controlled mattress system based on population characteristics provided in an embodiment of the present invention; Figure 2 A flowchart illustrating a temperature-controlled mattress system control method based on population characteristics, provided in an embodiment of the present invention; Figure 3 A schematic diagram of a sub-process of a temperature-controlled mattress system control method based on population characteristics provided in an embodiment of the present invention; Figure 4 A schematic block diagram of a temperature-controlled mattress system control device based on population characteristics, provided for an embodiment of the present invention; Figure 5 This is a schematic block diagram of a temperature-controlled mattress system control device based on population characteristics, provided as an embodiment of the present invention. Detailed Implementation

[0011] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0012] It should be understood that, when used in this specification and the appended claims, the terms "comprising" and "including" indicate the presence of the described features, integrals, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or collections thereof.

[0013] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0014] It should also be further understood that the term "and / or" as used in this specification and the appended claims refers to any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0015] Please see below. Figure 1 This invention provides a temperature-controlled mattress system based on population characteristics, comprising: User interaction module 10 is used to receive control commands input by the user; wherein, the control commands include mode selection commands set based on population characteristics; A matrix temperature sensing network 20 is installed under the temperature-controlled mattress. The matrix temperature sensing network 20 includes multiple temperature probes arranged in a grid pattern to form multiple independent temperature detection cells. The air volume actuator 30 is connected to each of the temperature detection cells and is used to deliver air volume with a corresponding temperature to each of the temperature detection cells. A central controller 40 is connected to the user interaction module 10, the matrix temperature sensor network 20, and the airflow actuator 30. The central controller 40 receives control commands input by the user through the user interaction module 10 and obtains a mode selection command from the control commands; obtains the corresponding target temperature based on the mode selection command; detects the real-time temperature of the target temperature detection cell corresponding to the control command through the matrix temperature sensor network 20; and adjusts the temperature of the target temperature detection cell through the airflow actuator 30 by combining the target temperature and the real-time temperature.

[0016] In this embodiment, the temperature-controlled mattress system includes a user interaction module 10, a matrix temperature sensor network 20, an airflow actuator 30, and a central controller 40. The user interaction module 10 can be implemented through various means such as physical buttons, a touchscreen, or a mobile app, allowing users to quickly select preset mode commands based on their individual characteristics (e.g., age, gender, body type) without manually setting specific temperature values. The matrix temperature sensor network 20 employs a high-density grid layout, forming multiple independent temperature detection cells by setting temperature probes to achieve precise temperature monitoring. The airflow actuator 30 is used to deliver air to each temperature detection cell, thereby regulating the mattress temperature by controlling the airflow temperature.

[0017] The central controller 40 is the core processing unit of the system, connected to the user interaction module 10, the matrix temperature sensor network 20, and the airflow actuator 30. After receiving the mode selection command from the user interaction module 10, the central controller 40 first parses the user-specific information contained in the command, such as the user's selected "elderly mode" or "female mode," and then retrieves the target temperature parameters matching that mode and the corresponding target temperature detection cell distribution. For example, when the user selects "children's mode," the system automatically sets the target temperature for the core area of ​​the mattress (such as the lower back and hip area) to 28℃ and increases the monitoring frequency of the temperature detection cells to twice per second to ensure rapid response to changes in the child's body temperature. During the temperature detection phase, the matrix temperature sensor network 20 outputs the corresponding real-time temperature for the target temperature detection cells. Then, combining the target temperature and the real-time temperature, the airflow actuator 30 outputs the corresponding hot or cold air to regulate the temperature of the temperature-controlled mattress.

[0018] This embodiment can automatically execute a scientific and personalized temperature plan based on the characteristics of the user group; through a high-density sensor network and independent air ducts, it can achieve independent and precise temperature control in multiple areas, thereby improving the comfort and experience of the temperature-controlled mattress.

[0019] In practical applications, the user interaction module 10 is used to receive user input, including mode selection instructions, wherein the modes include at least: women's warm mode, men's balanced mode, elderly health mode, and child safety mode. Users can independently select different modes for different zones of the mattress or have different modes recommended by the system.

[0020] In the high-density matrix temperature sensing network 20, it can be divided into head area, upper torso area, lower torso area and foot area along the length of the mattress, and left side, middle and right side along the width, forming multiple independent monitoring cells. A high-precision NTC temperature probe is arranged in the center of each cell to collect the real-time temperature of the microenvironment of each area.

[0021] The air volume actuator 30 specifically includes: Fans are used to output air volume; A heating unit is used to heat the airflow output by the fan to generate hot air that can heat the mattress; The air duct is connected to the fan and is used to transport the air volume output by the fan; the air duct includes a main air duct and branch air ducts extending to each of the temperature detection cells, and each of the branch air ducts is equipped with an intelligent air valve connected to the central controller.

[0022] The airflow actuator 30 provides a basic airflow through a fan. After being adjusted to the target temperature by a heating unit (such as a PTC heating unit), the airflow is distributed to each branch duct through the main air duct. The intelligent air valves installed on each branch duct can achieve stepless adjustment (0%-100% opening), thereby realizing the directional and quantitative delivery of heat. In practical applications, the central controller 40 precisely controls the opening degree and opening duration of the intelligent air valves on the corresponding branch ducts based on the difference between the real-time temperature and the target temperature, realizing independent airflow delivery to different temperature detection cells. For example, when the real-time temperature of the foot area is detected to be 2°C lower than the target temperature, the system can adjust the opening degree of the air valve in the branch duct of that area to 80% and continuously supply air for 30 seconds to quickly raise the local temperature to the set value; while for the waist area where the temperature has reached the target, the air valve remains closed to avoid energy waste. This dynamic adjustment mechanism not only meets the differentiated temperature control needs of different parts of the body, but also achieves a smooth temperature transition by precisely controlling the air volume and temperature, avoiding the problem of sudden temperature rises and falls common in traditional temperature control methods, and further improving the user's sleep comfort.

[0023] Figure 2 This is a flowchart illustrating a temperature-controlled mattress system control method based on population characteristics, provided by an embodiment of the present invention. The method is applied to the temperature-controlled mattress system based on population characteristics as described above, and is characterized in that the method includes steps S101 to S104.

[0024] Step S101: Receive the control command input by the user according to the user interaction module, and obtain the mode selection command in the control command; Step S102: Obtain the corresponding target temperature and target temperature detection cell according to the mode selection instruction; Step S103: Detect the real-time temperature of the target temperature detection cell through the matrix temperature sensing network; Step S104: Combining the target temperature and the real-time temperature, the airflow actuator adjusts the temperature of the target temperature detection cell.

[0025] In this embodiment, when a user inputs a control command, the user interaction module first parses the command content and extracts the mode selection command, such as "Elderly Wellness Mode" or "Child Safety Mode." Then, it matches the target temperature range corresponding to the mode with the target temperature detection cells that require focused control. For example, in Elderly Mode, the waist and foot areas might be designated as core control units, with a target temperature set at 26-28℃. Next, a matrix-type temperature sensor network monitors the target cells in real time, for example, collecting temperature data at a frequency of 1 second and feeding it back to the central controller. The central controller compares the real-time temperature with the target temperature, and based on the difference, controls the opening degree of the intelligent air valves in the corresponding branch air ducts. Simultaneously, it activates the heating unit to heat the airflow to the target temperature before delivering it to the target cells.

[0026] Thus, this embodiment can automatically execute a scientific and personalized temperature plan based on the characteristics of the user group; through a high-density sensor network and independent air ducts, it can achieve independent and precise temperature control in multiple areas, thereby improving the comfort and experience of the temperature-controlled mattress.

[0027] In addition, as time goes on, the dynamic target temperature of each cell is automatically updated according to the time dimension strategy. For example, in the first 30 minutes after the user falls asleep, the target temperature is set to the initial value to help the user fall asleep quickly; one hour after falling asleep, the core area temperature is automatically reduced by 1-2℃ to reduce sleep interruption caused by overheating at night; after 5 am, the temperature is gradually raised to create a comfortable environment for the user to wake up naturally, thereby achieving dynamic and adaptive temperature control that follows the sleep cycle throughout the night.

[0028] It should be noted that the implementing entity of the temperature-controlled mattress system control method provided in this embodiment can be the central controller in the temperature-controlled mattress system, or a separately set server or service terminal.

[0029] In one embodiment, such as Figure 3 As shown, step S104 includes steps S201 to S203.

[0030] Step S201: Obtain the temperature difference between the target temperature and the real-time temperature; Step S202: Based on the temperature difference and the preset multi-mode database and safety rules, the required opening degree of the smart valve corresponding to each target temperature detection cell is obtained through the control algorithm; wherein, the multi-mode database contains quantitative three-dimensional temperature control strategies corresponding to the characteristic patterns of each population group, and the three dimensions include spatial dimension, time dimension and control parameter dimension. Step S203: Control the air volume actuator to perform air supply operation, and independently adjust the opening degree of the smart valve corresponding to each target temperature detection cell according to the opening degree required by the smart valve.

[0031] In this embodiment, when adjusting the temperature of a temperature-controlled mattress by combining the target temperature and the real-time temperature, the specific difference between the target temperature and the real-time temperature is first calculated as the basis for temperature adjustment. Next, a preset multi-mode database is invoked. This database stores quantitative control strategies in three dimensions—space, time, and control parameters—for different user-specific modes (such as a women's warm mode and a men's balanced mode). Simultaneously, this embodiment also introduces safety rules. For example, when the detected temperature difference exceeds a preset safety threshold (such as 5°C), a protection mechanism is automatically triggered to limit the maximum opening of the air valve to avoid drastic local temperature changes. Furthermore, when the mode is an elderly health and wellness mode, the control output of the algorithm must ensure that the temperature rise rate of that cell does not exceed a preset maximum value.

[0032] Subsequently, by inputting temperature differences, strategy parameters from the multi-mode database, and safety rules into the control algorithm, the system can accurately calculate the required opening degree of the intelligent air valve corresponding to each target temperature detection cell. For example, in the elderly health mode, if the real-time temperature of a cell is 1.5℃ lower than the target temperature, the algorithm will set the air valve opening to 40% and continuously supply air based on the parameter in the database that "the elderly are highly sensitive to temperature fluctuations," in order to achieve a slow temperature rise. In the child safety mode, if the temperature difference is the same, the algorithm will prioritize safety, control the air valve opening to within 30%, and shorten the duration of each air supply. Finally, the central controller, based on the calculated required opening degree of the intelligent air valve, coordinates the total output of the fan (e.g., by adjusting the speed via PWM) and the PTC heating unit (e.g., by adjusting the power via duty cycle) to achieve optimal overall system energy efficiency. This sends instructions to the airflow actuator to control the intelligent air valves on each branch air duct to independently adjust their opening and closing degrees, ultimately achieving precise air supply to different areas, ensuring that the mattress surface temperature quickly stabilizes within the target range, while simultaneously considering comfort and safety.

[0033] In a specific embodiment, the control algorithm described in this embodiment can be a fuzzy PID control algorithm, which combines the advantages of fuzzy logic and PID control. It achieves dynamic control of the nonlinear system by establishing a fuzzy rule base between the temperature difference and the valve opening. The fuzzy logic part is responsible for fuzzifying the input quantities such as the temperature difference (e.g., negative deviation indicates the real-time temperature is lower than the target temperature, and positive deviation indicates it is higher than the target temperature) and the rate of temperature change, dividing them into fuzzy sets such as "negative large," "negative small," "zero," "positive small," and "positive large." A rule table is set based on expert experience, for example, "if the temperature difference is negative large and the rate of change is negative small, then the valve opening is positive large." The PID control part then precisely corrects the initial opening value output by the fuzzy logic through dynamic adjustment of the proportional (P), integral (I), and derivative (D) parameters to eliminate static errors and improve system response speed. For example, when the temperature difference is large, the fuzzy logic outputs a large initial valve opening value. The PID controller responds quickly through the proportional element, while the integral element begins to accumulate deviations to eliminate steady-state errors, and the derivative element adjusts in advance according to the temperature change trend to avoid overshoot. This composite control algorithm can effectively cope with time delays and load disturbances (such as temperature distribution changes caused by the user turning over) during the mattress temperature regulation process, ensuring that each temperature detection cell can quickly reach the target temperature and remain stable in different modes, further optimizing the dynamic performance and control accuracy of the temperature control system.

[0034] Furthermore, the multi-mode database described in this embodiment pre-stores quantitative three-dimensional temperature control strategies corresponding to the characteristic patterns of each population group. Specifically, the three dimensions include: ① Spatial dimension: The baseline target temperature values ​​and allowable fluctuation ranges for each monitoring cell of the mattress in a specific mode are clearly defined in the form of a parameter table. For example, in the women's warm mode, the target temperature for the foot area is set at 32.0±0.5°C, and for the head area at 25.0±0.5°C; in the men's balanced mode, the target temperatures for the corresponding areas are 29.0±0.5°C and 24.0±0.5°C, respectively.

[0035] ② Time Dimension: Defines a dynamic temperature change function synchronized with the preset bedtime. This function divides the user's sleep cycle into a warm-up period, a sleep onset period, a deep sleep period, and a light sleep awakening period, and sets different target temperatures or temperature change rates for each stage. For example, the target temperature for the deep sleep period can be 1.5°C lower than that for the sleep onset period.

[0036] ③ Control Parameter Dimension: Define specific control rules and parameter limits related to the mode. For example, the rules for the child safety mode include an absolute temperature limit of "forcibly stopping heating if the temperature in any area is >35°C"; while the parameters for the elderly health care mode include a limit of "maximum heating rate ≤1.5°C / minute".

[0037] In one embodiment, step S102 includes: The corresponding target mode is determined according to the mode selection instruction; Based on the multi-mode database, the target temperature of each target temperature detection cell in the target mode and the corresponding applicable control parameters are analyzed.

[0038] Upon receiving the mode selection command, this embodiment first matches the corresponding target mode in the multi-mode database. This target mode encompasses detailed settings across three dimensions: space, time, and control parameters. Subsequently, based on the target mode, the basic target temperature and allowable fluctuation range of each target temperature detection cell are accurately parsed from the multi-mode database. Simultaneously, the applicable control rules and parameter limitations for each cell under this mode are clarified, such as the temperature rise rate and absolute temperature upper limit, thus providing an accurate basis for subsequent temperature adjustment.

[0039] In one embodiment, step S103 includes: The temperature data of the temperature detection cell is collected periodically; The temperature data is preprocessed using a filtering algorithm to obtain stable real-time temperature values ​​for each temperature detection cell; Based on the target temperature detection cell corresponding to the control command, the corresponding real-time temperature is output.

[0040] In this embodiment, when acquiring the real-time temperature of the target temperature detection cells, multiple high-precision NTC temperature probes arranged in a matrix temperature sensor network first collect temperature data from all temperature detection cells according to a preset sampling period (e.g., once every 0.5 seconds). Since the collected raw temperature data may contain fluctuations caused by environmental interference or sensor noise, this embodiment employs a filtering algorithm (e.g., moving average filtering or Kalman filtering) for preprocessing. Taking moving average filtering as an example, the system averages the N consecutively collected temperature data points, effectively smoothing the data curve and eliminating instantaneous interference, thereby obtaining a stable real-time temperature value for each temperature detection cell. Subsequently, based on the target temperature detection cells determined in the control command (e.g., the core area cell corresponding to when the user selects "Children's Mode"), the real-time temperatures of these target cells are filtered from the preprocessed temperature data and output, providing an accurate basis for subsequent temperature adjustment.

[0041] In one embodiment, the temperature-controlled mattress system control method based on population characteristics further includes: Obtain the user's historical data; wherein, the historical data includes regulation data and sleep-related data; Identify user-specific data based on the aforementioned historical data; The personalized data is used to create a copy of the personalized mode parameters for the user, and the temperature of the thermostatic mattress is adjusted for the user based on the copy of the personalized mode parameters.

[0042] This embodiment employs adaptive learning to construct a user behavior profile by analyzing historical adjustment data (such as manual temperature correction records and mode switching frequency) and sleep-related data (such as body movement frequency and sleep cycle duration). By comparing this data with standard mode parameters in a multi-mode database, personalized user preferences can be identified. For example, some users may habitually increase foot temperature by 1°C beyond the "ladies' warm mode," or prefer a lower temperature fluctuation range during deep sleep. Based on this personalized data, a unique copy of personalized mode parameters can be generated for each user and stored locally or in the cloud. During subsequent use, when the user selects the corresponding basic mode, the central controller can prioritize calling this personalized copy to dynamically adjust parameters such as target temperature and air valve adjustment sensitivity. This upgrades from "standard mode adaptation" to "individualized precise customization," further narrowing the gap between the system's default settings and the user's actual needs, making the temperature control experience more aligned with the user's long-term usage habits.

[0043] In one embodiment, the temperature-controlled mattress system control method based on population characteristics further includes: Acquire external environmental data and determine whether the compensation threshold has been reached; If the compensation threshold is reached, then global offset compensation is performed on the target temperature based on the external environment data.

[0044] This embodiment introduces external environmental data to monitor indoor temperature, humidity, air pressure and other environmental parameters in real time. Based on this environmental data (for example, when the room temperature is below a certain threshold), a unified global offset compensation is performed on the base target temperature in all activity modes to enhance the system's adaptability to different external environments.

[0045] For example, when the system detects an ambient temperature below 18℃ or above 28℃, or humidity exceeding 70%, it automatically triggers a compensation mechanism to adjust the target temperature of all target temperature detection cells globally by ±1-2℃. As another example, in winter when the indoor temperature is 15℃, the system will raise the target temperature of each cell in the "Elderly Wellness Mode" by 1.5℃ to offset the impact of low ambient temperature on the mattress's insulation effect. In summer, in hot and humid environments, if the detected indoor humidity reaches 75%, the system can lower the target temperature of the "Women's Warmth Mode" by 1℃ and appropriately increase the fan speed to enhance heat dissipation and moisture removal, ensuring that the user's perceived temperature matches the set target and avoiding temperature control deviations caused by environmental factors.

[0046] Based on the control method provided in this embodiment, the following embodiments are provided for illustration: Example 1: Implementation process of refined zoned temperature control in a double bed Taking a 1.8-meter wide double mattress as an example, 4 (length) × 3 (width) = 12 monitoring cells are set up. Users can set the left side as "Women's Warm Mode" and the right side as "Men's Balanced Mode" through the APP.

[0047] The central controller performs mode mapping. Based on the left-hand mode, a target temperature of 32°C is set for the sleep onset period for the FL (left foot) cell, and 25°C for the HL (left head) cell; based on the right-hand mode, 29°C is set for the FR (right foot) cell, and 24°C for the HR (right head) cell. The target values ​​for the middle column cells are generated by interpolation from the left and right sides.

[0048] The controller enters a multi-loop adaptive closed-loop control cycle. After reading the temperature of each cell, it is found that the ΔT for FL is 8°C and the ΔT for HR is 1°C. Based on the control parameters of different modes (the female mode has a more agile response), the control algorithm calculates and outputs instructions: open the intelligent air valve to FL to 85%, increase the fan speed, and heat the PTC at medium to high power; while maintaining the intelligent air valve to HR at 30% opening and keeping the fan running at low speed.

[0049] At 3 a.m. (during deep sleep), the time-based strategy is triggered, and the system automatically lowers the target temperature of all cells in the left and right partitions by 1.5°C. The controller then adjusts each actuator to achieve energy-saving effects.

[0050] Example 2: Control Manifestation of Integrated Security Rules When a user selects the "Elderly Wellness Mode," the corresponding rule "maximum heating rate ≤ 1.5°C / minute" will be loaded into the control parameter dimension. In the control loop, even if the system detects that the ΔT value of the FC cell in the elderly person's foot is as high as 10°C, the control algorithm will still output a limited control sequence to ensure that the temperature of the FC cell rises at a gentle rate of about 1.5°C per minute, avoiding sudden temperature changes throughout the process.

[0051] Example 3: Operational Example of Adaptive Learning Function The user had been using the "Men's Balanced Mode" for a long time. The system, through its learning function, recorded and analyzed the data and discovered that the user consistently raised their foot temperature by 1°C after falling asleep. After a week of continuous learning, the system created a personalized parameter set for the user, fine-tuning the target temperature for their foot area from 29°C to 29.8°C. Thereafter, when the user selects this mode, the system will directly apply the optimized parameters.

[0052] In summary, the control method provided in this embodiment offers the following advantages: First, the control precision and personalization have been significantly improved. Through the hardware combination of a matrix sensor network and an independent airflow control actuator, along with a quantitative three-dimensional strategy and an integrated multi-loop adaptive closed-loop control method, a near-cellular level precise temperature field construction and regulation has been achieved on a mattress for the first time. This can truly match the thermal comfort needs of different body parts of different people, effectively solving the pain point of insufficient personalization in existing technologies.

[0053] Secondly, it achieves a deep integration of intelligence and ease of use. User operation is simplified to an intuitive mode selection, which is supported by complex methods such as integrated dynamic strategy analysis, multi-loop control, and timing optimization. This not only cleverly hides the technical complexity, but also provides users with highly personalized temperature control results, greatly improving the ease of operation and user experience.

[0054] Third, it boasts outstanding dynamic sleep adaptation and energy-saving effects. The integrated time-dimensional strategy and cyclical control steps allow the mattress temperature to actively adapt to the human body's physiological rhythm, effectively improving sleep quality while rationally regulating and cooling during the deep sleep period. This achieves a two-way balance between comfortable sleep and energy saving, taking into account both practicality and economy.

[0055] Fourth, the safety protection is embedded and reliable. Safety rules are directly integrated into the core decision-making of the control algorithm as a control parameter dimension, constructing a proactive safety protection system. No additional protective devices are required, making it especially suitable for special groups such as children and the elderly, thus improving the safety and applicability of the product.

[0056] Fifth, the system possesses powerful evolution and expansion capabilities. Through optional adaptive learning and environmental linkage functions, the system can not only continuously optimize temperature control strategies in response to changes in user habits, but also integrate into a larger smart home ecosystem, proactively responding to environmental changes. This fully demonstrates the product's high level of intelligence, scalability, and practicality, adapting to the future development trend of smart homes.

[0057] Figure 4 This is a schematic block diagram of a temperature-controlled mattress system control device 400 based on population characteristics, provided in an embodiment of the present invention. The device 400 includes: The instruction acquisition unit 401 is used to receive control instructions input by the user according to the user interaction module, and to acquire the mode selection instruction in the control instructions; The target acquisition unit 402 is used to acquire the corresponding target temperature and the target temperature detection cell according to the mode selection instruction. Temperature detection unit 403 is used to detect the real-time temperature of the target temperature detection cell through the matrix temperature sensing network; Temperature adjustment unit 404 is used to adjust the temperature of the target temperature detection cell by combining the target temperature and the real-time temperature through the air volume actuator.

[0058] In one embodiment, such as Figure 5 As shown, the temperature regulating unit 404 includes: The difference acquisition unit 501 is used to acquire the temperature difference between the target temperature and the real-time temperature; The opening degree acquisition unit 502 is used to acquire the required opening degree of the smart valve corresponding to each target temperature detection cell based on the temperature difference and a preset multi-mode database and safety rules through a control algorithm; wherein, the multi-mode database contains quantitative three-dimensional temperature control strategies corresponding to the characteristic patterns of each population group, and the three dimensions include spatial dimension, time dimension and control parameter dimension. The opening adjustment unit 503 is used to control the air volume actuator to perform air supply operation, and independently adjust the opening of the smart valve corresponding to each target temperature detection cell according to the opening requirement of the smart valve.

[0059] In one embodiment, the target acquisition unit 402 includes: A mode determination unit is used to determine the corresponding target mode according to the mode selection instruction; The data parsing unit is used to parse the target temperature of each target temperature detection cell in the target mode and the corresponding applicable control parameters based on the multi-mode database.

[0060] In one embodiment, the temperature detection unit 403 includes: The data acquisition unit is used to periodically acquire the temperature data of the temperature detection cell; The data filtering unit is used to preprocess the temperature data using a filtering algorithm to obtain stable real-time temperature values ​​for each of the temperature detection cells. The temperature output unit is used to output the corresponding real-time temperature based on the target temperature detection cell corresponding to the control command.

[0061] In one embodiment, the temperature-controlled mattress system control device 400 based on population characteristics further includes: A history acquisition unit is used to acquire the user's historical data; wherein, the historical data includes adjustment data and sleep-related data; A personalization recognition unit is used to identify the user's personalized data based on the historical relevant data; The personalized adjustment unit is used to create a copy of personalized mode parameters for the user using the personalized data, and to adjust the temperature of the thermostatic mattress for the user in combination with the copy of personalized mode parameters.

[0062] In one embodiment, the temperature-controlled mattress system control device 400 based on population characteristics further includes: The compensation judgment unit is used to acquire external environmental data and determine whether the compensation threshold has been reached. An offset compensation unit is used to perform global offset compensation on the target temperature based on the external environment data if it is determined that the compensation threshold has been reached.

[0063] Since the embodiments of the apparatus and the embodiments of the method correspond to each other, please refer to the description of the embodiments of the method for the embodiments of the apparatus, which will not be repeated here.

[0064] This invention also provides a computer-readable storage medium storing a computer program thereon, which, when executed, can perform the steps provided in the above embodiments. The storage medium may include various media capable of storing program code, such as a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0065] This invention also provides an electronic device that may include a memory and a processor. The memory stores a computer program, and when the processor calls the computer program in the memory, it can implement the steps provided in the above embodiments. Of course, the electronic device may also include various network interfaces, power supplies, and other components.

[0066] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the systems disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the descriptions are relatively simple; relevant parts can be referred to in the method section. It should be noted that those skilled in the art can make various improvements and modifications to this application without departing from the principles of this application, and these improvements and modifications also fall within the protection scope of the claims of this application.

[0067] It should also be noted that, in this specification, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

Claims

1. A temperature-controlled mattress system based on population characteristics, characterized in that, include: The user interaction module is used to receive control commands input by the user; wherein, the control commands include mode selection commands set based on population characteristics; A matrix temperature sensing network is installed under the temperature-controlled mattress. The matrix temperature sensing network includes multiple temperature probes that are evenly arranged in a grid pattern to form multiple independent temperature detection cells. An airflow actuator is connected to each of the temperature detection cells and is used to deliver airflow with a corresponding temperature to each of the temperature detection cells. A central controller, connected to the user interaction module, a matrix temperature sensor network, and an airflow actuator, is used to receive control commands input by the user through the user interaction module and obtain a mode selection command from the control commands; obtain the corresponding target temperature based on the mode selection command; detect the real-time temperature of the target temperature detection cell corresponding to the control command through the matrix temperature sensor network; and adjust the temperature of the target temperature detection cell through the airflow actuator by combining the target temperature and the real-time temperature.

2. The temperature-controlled mattress system based on population characteristics according to claim 1, characterized in that, The air volume actuator includes: Fans are used to output air volume; A heating unit is used to heat the airflow output by the fan to generate hot air that can heat the mattress; The air duct is connected to the fan and is used to transport the air volume output by the fan; the air duct includes a main air duct and branch air ducts extending to each of the temperature detection cells, and each of the branch air ducts is equipped with an intelligent air valve connected to the central controller.

3. A control method for a temperature-controlled mattress system based on population characteristics, applied to the temperature-controlled mattress system based on population characteristics as described in claim 1 or 2, characterized in that, The method includes: The user interaction module receives control commands input by the user and obtains mode selection commands from the control commands. The corresponding target temperature and target temperature detection cell are obtained according to the mode selection instruction; The real-time temperature of the target temperature detection cell is detected by the matrix temperature sensing network. Based on the target temperature and the real-time temperature, the airflow actuator adjusts the temperature of the target temperature detection cell.

4. The control method for a temperature-controlled mattress system based on population characteristics according to claim 3, characterized in that, The step of adjusting the temperature of the target temperature detection cell by combining the target temperature and the real-time temperature through the airflow actuator includes: Obtain the temperature difference between the target temperature and the real-time temperature; Based on the temperature difference and the preset multi-mode database and safety rules, the required opening degree of the smart valve corresponding to each target temperature detection cell is obtained through the control algorithm; wherein, the multi-mode database contains quantitative three-dimensional temperature control strategies corresponding to the characteristic patterns of each population group, and the three dimensions include spatial dimension, time dimension and control parameter dimension. The airflow actuator is controlled to perform air supply operation, and the opening degree of the smart valve corresponding to each target temperature detection cell is independently adjusted according to the opening degree required by the smart valve.

5. The control method for a temperature-controlled mattress system based on population characteristics according to claim 4, characterized in that, The step of obtaining the corresponding target temperature and target temperature detection cell according to the mode selection instruction includes: The corresponding target mode is determined according to the mode selection instruction; Based on the multi-mode database, the target temperature of each target temperature detection cell in the target mode and the corresponding applicable control parameters are analyzed.

6. The control method for a temperature-controlled mattress system based on population characteristics according to claim 3, characterized in that, The step of detecting the real-time temperature of the target temperature detection cell corresponding to the control command through the matrix temperature sensing network includes: The temperature data of the temperature detection cell is collected periodically; The temperature data is preprocessed using a filtering algorithm to obtain stable real-time temperature values ​​for each temperature detection cell; Based on the target temperature detection cell corresponding to the control command, the corresponding real-time temperature is output.

7. The control method for a temperature-controlled mattress system based on population characteristics according to claim 3, characterized in that, Also includes: Obtain the user's historical data; wherein, the historical data includes regulation data and sleep-related data; Identify user-specific data based on the aforementioned historical data; The personalized data is used to create a copy of the personalized mode parameters for the user, and the temperature of the thermostatic mattress is adjusted for the user based on the copy of the personalized mode parameters.

8. The control method for a temperature-controlled mattress system based on population characteristics according to claim 3, characterized in that, Also includes: Acquire external environmental data and determine whether the compensation threshold has been reached; If the compensation threshold is reached, then global offset compensation is performed on the target temperature based on the external environment data.

9. A control device for a temperature-controlled mattress system based on population characteristics, characterized in that, include: The instruction acquisition unit is used to receive control instructions input by the user according to the user interaction module, and to acquire the mode selection instruction in the control instructions; The target acquisition unit is used to acquire the corresponding target temperature and the target temperature detection cell according to the mode selection instruction. A temperature detection unit is used to detect the real-time temperature of the target temperature detection cell through the matrix temperature sensing network. A temperature control unit is used to adjust the temperature of the target temperature detection cell by combining the target temperature and the real-time temperature through the airflow actuator.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the temperature-controlled mattress system control method based on human characteristics as described in any one of claims 3 to 8.

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